Description:
- You would be part of a dynamic digital SoC design team that develops state-of-the-art video processing engines, neural processing units, advanced video analytics accelerators, and the entire Camera Processor SoC. You would be joining the team to explore, evaluate and define innovative design SoC architectures, to meet or exceed the technical requirements of the SoC. You would be responsible for the successful implementation of the designs in Verilog/SystemVerilog coding, metrics measurement to meet key objectives & results, and follow-through in comprehensive verifications to successful silicon.
Requirements:
- Experience in SoC architecture and design, and RTL coding with Verilog/SystemVerilog
- Experience in ARM or RISC-V processor system
- Experience in embedded C and assembly code programming
- Experience in analysis of power, timing and area
- Experience in at least one of scripting languages (e.g. Perl, Python, TCL, or Bash)
- Disciplined, quality-minded, and highly driven for excellence
- Excellent team player and good communication skills
- MSEE/BSEE in Electrical Engineering or Computer Engineering, with 8 years of relevant experience
- Experience in always-on system, automotive system, secured system, bus interconnect, neural processing, video processing and video analytics is a plus
- Experience in system modelling and simulation using emulator and SystemC is a plus
- Experience in UVM verification methodology is a plus
- Passionate and strong in general programming is a plus
Skills Required
- Experience in SoC architecture and design
- RTL coding experience with Verilog/SystemVerilog
- Experience with ARM or RISC-V processor systems
- Experience programming in embedded C and assembly
- Experience analyzing power, timing, and area
- Experience with at least one scripting language, such as Perl, Python, TCL, or Bash
- MSEE or BSEE in Electrical Engineering or Computer Engineering
- Eight years of relevant experience
- Experience with always-on, automotive, secured systems, bus interconnects, neural processing, video processing, or video analytics
- Experience with system modeling and simulation using an emulator and SystemC
- Experience with UVM verification methodology
- Strong general programming skills
What We Do
Founded in 1995, OMNIVISION has been at the leading-edge of technology, developing and delivering advanced digital imaging, analog, and touch & display solutions for multiple applications across several industries. With more than 3,000 employees worldwide and over 13 billion products shipped, OMNIVISION is a well-known global fabless semiconductor company. Our products can be found everywhere in people’s lives including mobile phones, security & surveillance, automotive, computing, medical, and emerging applications. Across these segments, OMNIVISION’S award-winning technology enables a smoother human/machine interface in many of today’s commercial devices. In this way, OMNIVISION delivers solutions that put its customers at the leading edge of technology. Whether it be developing the first mobile handset camera accessory in 2002, introducing the world’s smallest NTS camera in 2006 or launching PureCel CMOS image sensors in 2013, our dedication to providing reliable, innovative imaging and sensing solutions continue to be the primary aim. The company has recorded numerous industry firsts in its relentless quest for technology breakthroughs that deliver #InfiniteIngenuity: • Guinness World Record for the World's Smallest Commercially Available Image Sensor (OV6948) in 2019. In 2021, it beat its own record with the new OH0TA OVMed® • First to commercialize backside illumination technology in 2007 (OmniBSI™) • Industry's 1st to deploy the most mature LED Flicker Mitigation (LFM) solution in mass production for multiple automotive applications • Automotive industry leader with HALE, our HDR & LFM Engine combination algorithm • Developer of Nyxel® near-infrared technology with by far the best quantum efficiency in CMOS near-infrared imagine • Creator of CameraCubeChip™, the industry’s 1st wafer-level camera modules • First and only global shutter image sensors with cybersecurity, for ADAS and autonomous vehicles • First to introduce RBG-Ir technology to medical
